@inproceedings{3a06e521815e4a4884b61c41388f277c,
title = "Energy efficient path planning of autonomous underwater vehicles for environment modeling",
abstract = "In this paper, we propose a path planning method of autonomous underwater vehicles (AUV) for exploring the uncertain environment, which aims to minimize the estimation uncertainty and the total energy-consumption. Grid based environment model is used for the path planning problem. Kalman filter is employed to handle the measurement information and the AUV is driven to the optimal direction which minimize the filter uncertainty and the energy consumption. Simulation results are provided to show the efficiency of our algorithm.",
author = "Diyuan Lu and Rongxin Cui and Ping Wang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 ; Conference date: 28-09-2014 Through 30-09-2014",
year = "2014",
month = dec,
day = "23",
doi = "10.1109/MFI.2014.6997716",
language = "英语",
series = "Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014",
}
